Global associations between regional gray matter volume and diverse complex cognitive functions: evidence from a large sample study

Takeuchi, H, Taki, Y, Nouchi, R, Yokoyama, R, Kotozaki, Y, Nakagawa, S, Sekiguchi, A, Iizuka, K, Yamamoto, Y, Hanawa, S, Araki, T, Miyauchi, CM, Shinada, T, Sakaki, K, Sassa, Y, Nozawa, T, Ikeda, S, Yokota, S, Magistro, D ORCID logoORCID: https://orcid.org/0000-0002-2554-3701 and Kawashima, R, 2017. Global associations between regional gray matter volume and diverse complex cognitive functions: evidence from a large sample study. Scientific Reports, 7: 10014. ISSN 2045-2322

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Abstract

Correlations between regional gray matter volume (rGMV) and psychometric test scores have been measured to investigate the neural bases for individual differences in complex cognitive abilities (CCAs). However, such studies have yielded different rGMV correlates of the same CCA. Based on the available evidence, we hypothesized that diverse CCAs are all positively but only weakly associated with rGMV in widespread brain areas. To test this hypothesis, we used the data from a large sample of healthy young adults [776 males and 560 females; mean age: 20.8 years, standard deviation (SD) = 0.8] and investigated associations between rGMV and scores on multiple CCA tasks (including non-verbal reasoning, verbal working memory, Stroop interference, and complex processing speed tasks involving spatial cognition and reasoning). Better performance scores on all tasks except non-verbal reasoning were associated with greater rGMV across widespread brain areas. The effect sizes of individual associations were generally low, consistent with our previous studies. The lack of strong correlations between rGMV and specific CCAs, combined with stringent corrections for multiple comparisons, may lead to different and diverse findings in the field.

Item Type: Journal article
Publication Title: Scientific Reports
Creators: Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Yamamoto, Y., Hanawa, S., Araki, T., Miyauchi, C.M., Shinada, T., Sakaki, K., Sassa, Y., Nozawa, T., Ikeda, S., Yokota, S., Magistro, D. and Kawashima, R.
Publisher: Nature Publishing Group
Date: 2017
Volume: 7
ISSN: 2045-2322
Identifiers:
Number
Type
10.1038/s41598-017-10104-8
DOI
Rights: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 10 May 2018 09:39
Last Modified: 10 May 2018 09:39
URI: https://irep.ntu.ac.uk/id/eprint/33507

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